Lehigh University PhD student Saskia Putri is partnering with Siemens through a two-semester fellowship to develop microgrid technologies that improve the reliability and resilience of data center energy systems. Working under the guidance of civil and environmental engineering professor Farrah Moazeni, Putri is modeling and testing real-time control systems designed to stabilize power for energy-intensive operations such as AI training. The collaboration, part of Lehigh’s Center for Advancing Community Electrification Solutions (ACES), aims to bridge academic innovation and industrial application in next-generation energy infrastructure.

UCLA is the first public research institution on the West Coast with the CellXpress.AI, a research instrument that automates the steps for growing cells and tissue in culture. 

Using the new device to grow stem cells into organoids, which mimic organs from the body, enables investigators in both drug development and the basic life sciences to conduct experiments with cellular systems that resemble human biology more closely than animal models do.

The device offers gains in speed, flexibility, efficiency and reproducibility, while reducing tedious manual labor, supercharging UCLA research, as well as research from other academic and industrial collaborators.

Ultrasonic testing is a promising non-destructive evaluation technique across various industries. In a novel breakthrough, researchers from Chung-Ang University have developed DiffectNet, an AI-based technology that facilitates the diffusion-enabled conditional target generation of internal defects in ultrasonic non-destructive testing. This approach significantly outperforms traditional methods, potentially revolutionizing real-time defect reconstruction and prediction in highly reliability-critical industries, including aerospace, power generation, semiconductor manufacturing, and civil infrastructure.